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Record W2112744430 · doi:10.1109/ccece.2011.6030637

Domination in Iterated Prisoner's Dilemma

2011· article· en· W2112744430 on OpenAlexaff
Joseph Alexander Brown, Daniel Ashlock

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEvolutionary Game Theory and Cooperation
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPrisoner's dilemmaIterated functionDilemmaSuperrationalityFocus (optics)Computer scienceMathematical economicsSequence (biology)Game theoryExtension (predicate logic)Set (abstract data type)Artificial intelligenceTheoretical computer scienceEpistemologyMathematicsPhilosophyProgramming language

Abstract

fetched live from OpenAlex

Domination is a concept in Game Theory which has not been fully explored in the Iterated Prisoner's Dilemma. The idea of domination has previously been restricted to current moves looking at a single game and not a sequence of moves. An extension of the notion of domination is made that allows for the formalization of various behaviours exhibited in agents playing IPD. This formalization organizes behaviours such as "nice" into sets of dominated agents in an elegant fashion. In this initial study, we focus on dominators for sets of agents drawn from the set: Always Cooperate, Always Defect, and Tit-for-Tat.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.291
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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